RecipeMeta: Metapath-enhanced Recipe Recommendation on Heterogeneous Recipe Network
Jialiang Shi,
Takahiro Komamizu,
Keisuke Doman,
Haruya Kyutoku,
Ichiro Ide Proceedings of the 5th ACM International Conference on Multimedia in Asia, p.1–7, January 2024.
Unified Transformer with Fine-grained Contrastive Learning for Cross-modal Recipe Retrieval
Bolin Zhang,
久徳 遙矢,
道満 恵介,
Takahiro Komamizu,
Chao Yang,
Bin Jiang,
井手 一郎 第26回画像の認識・理解シンポジウム(MIRU2023), July 2023.
Vehicle ego-localization with a monocular camera using epipolar geometry constraints
Haruya Kyutoku,
Yasutomo Kawanishi,
Daisuke Deguchi,
Ichiro Ide,
Hiroshi Murase Vehicles, Drivers, and Safety, Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, and John H.L. Hansen eds., pp.251-261, May 2020.
Vehicle ego-localization with a monocular camera using epipolar geometry constraints
Haruya Kyutoku,
Yasutomo Kawanishi,
Daisuke Deguchi,
Ichiro Ide,
Hiroshi Murase Vehicles, Drivers, and Safety, Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, and John H.L. Hansen eds., De Gruyter, May 2020.
Scene-adaptive driving area prediction based on automatic label acquisition from driving information
Takuya Migishima,
Haruya Kyutoku,
Daisuke Deguchi,
Yasutomo Kawanishi,
Ichiro Ide,
Hiroshi Murase Pattern Recognition -5th Asian Conf., ACPR2019, Auckland, New Zealand, Nov. 26-29, 2019, Revised Selected Papers, Part II, S. Palaiahnakote, G. Sanniti di Baja, L. Wang, L., W.Q. Yan eds., Lecture Notes in Computer Science, Springer, February 2020.
Scene-Adaptive Driving Area Prediction based on Automatic Label Acquisition from Driving Information
Takuya Migishima,
Haruya Kyutoku,
Daisuke Deguchi,
Yasutomo Kawanishi,
Ichiro Ide,
Hiroshi Murase Proceedings of the 5th IAPR Asian Conference on Pattern Recognition (ACPR2019), 97, November 2019.
Scene-adaptive driving area prediction based on automatic label acquisition from driving information
Takuya Migishima,
Haruya Kyutoku,
Daisuke Deguchi,
Yasutomo Kawanishi,
Ichiro Ide,
Hiroshi Murase 5th IAPR Asian Conf on Pattern Recognition (ACPR2019), November 2019.
Hard Negative Mining from in-Vehicle Camera Images based on Multiple Observations of Background Patterns
Masashi Hontani,
Haruya Kyutoku,
David Robert Wong,
Daisuke Deguchi,
Yasutomo Kawanishi,
Ichiro Ide,
Hiroshi Murase Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP) 2019, Vol.5, pp.435-442, February 2019.
Hard negative mining from in-vehicle camera images based on multiple observations of background patterns
Masashi Hontani,
Haruya Kyutoku,
David R. Wong,
Daisuke Deguchi,
Yasutomo Kawanishi,
Hiroshi Murase Proc. Fourteenth Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP2019), February 2019.
Estimating the Scene-wise Reliability of LiDAR Pedestrian Detectors
Haruya Kyutoku,
Yasutomo Kawanishi,
Daisuke Deguchi,
Ichiro Ide,
Kazuki Kato,
Hiroshi Murase Proceedings of 2018 IEEE 21th International Conference on Intelligent Transportation Systems (ITSC2018), pp.3511-3516, November 2018.
Estimating the scene-wise reliability of LiDAR pedestrian detectors
Haruya Kyutoku,
Yasutomo Kawanishi,
Daisuke Deguchi,
Ichiro Ide,
Kazuki Kato,
Hiroshi Murase 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018), November 2018.
Epipolar geometry-based ego-localization using an in-vehicle monocular camera
Haruya Kyutoku,
Yasutomo Kawanishi,
Daisuke Deguchi,
Ichiro Ide,
Hiroshi Murase Workshop on Digital Signal Processing for In-Vehicle Systems, P-11, October 2018.
Epipolar geometry-based ego-localization using an in-vehicle monocular camera
Haruya Kyutoku,
Yasutomo Kawanishi,
Daisuke Deguchi,
Ichiro Ide,
Hiroshi Murase Proc. 8th Biennial Workshop on Digital Signal Processing in Vehicles (DSP 2018), October 2018.
General Forward Obstacle Detection using Current and Past In-Vehicle Camera Images
Haruya Kyutoku Elemental Technologies for Automated Driving with Realistic Onboard Sensors: from Software to Hardware in the Real World and the Cyber World in conjunction with IEEE Intelligent Vehicles Symposium 2018, June 2018.
Last updated: 2024-12-05 17:04:37.951559876 +0000 UTC m=+2.471196467.